[PDF.17nl] Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

[PDF.on00] Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

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 | #956035 in Books |  2015-12-09 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,.0 | File type: PDF | 290 pages

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|| |“This book deals with different aspects regarding this approach, starting with the standard k-nearest neighbor model, and passing through the weighted k-nearest neighbor model, estimations for entropy, regression functions etc. … It is intended fo

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.

Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye i...

You easily download any file type for your device.Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)   |  Gérard Biau, Luc Devroye.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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